Google Technical Support Lead

Connex Telecommunications Inc.; Hamilton; Hybrid; CAD 100,000 - 140,000; Full time

Job summary

A leading telecommunications firm based in Hamilton, ON, is seeking a Google Technical Support Lead to oversee client cloud environments on Google Cloud Platform. This hands-on role requires driving operational excellence and managing AI workloads while ensuring stability and performance. The ideal candidate will have over 5 years' experience in a customer-facing technical role and a Bachelor’s degree in a related field. A competitive salary of CAD $100,000 to $140,000 is offered along with hybrid work options and professional development opportunities.

Benefits

Comprehensive health and dental benefits

Opportunities for professional development

Exposure to advanced cloud environments

Qualifications

• 5+ years in a customer-facing technical role such as Technical Support, TAM, DevOps, or Cloud Engineer.
• Hands-on experience managing workloads on Google Cloud Platform (GCP).
• Foundational understanding of the AI/ML lifecycle.

Responsibilities

• Act as technical owner for client GCP environments.
• Monitor system health, uptime, and performance.
• Manage capacity planning, quotas, and scaling strategies.

Skills

Technical Support

Google Cloud Platform (GCP)

AI/ML Lifecycle Understanding

Troubleshooting

Bilingual (French/English)

Education

Bachelor’s degree in Computer Science or related field

Tools

Terraform

Google Cloud Deployment Manager

Cloud Composer / Airflow

Job description

DIT - Google Technical Support Lead (ON)

Hamilton, ON, Canada

Job Description

Posted Friday, January 16, 2026 at 5:00 AM

DependableIT is a trusted Canadian leader in customer experience, managed IT, and advanced technical support services. For over two decades, we’ve partnered with North America’s leading organizations to deliver reliable, scalable, and innovative solutions across cloud, AI, and managed services.

As we continue to expand our Managed Services and Google Cloud capabilities, we are investing in senior technical leadership roles that can support complex client environments, drive operational excellence, and help shape the future of our technical services practice.

At DependableIT, we are building the next generation of managed services—combining deep technical expertise, proactive support models, and strong client partnerships. You’ll be joining a team that values ownership, accountability, and continuous improvement, with the opportunity to play a key role in shaping our Google Cloud and AI service offerings.

Role Overview

We are seeking a Google Technical Support Lead to serve as a senior technical resource within our Managed Services division. This role acts as the primary technical point of contact for key clients running mission‑critical workloads on Google Cloud Platform (GCP), with a strong focus on AI‑enabled environments.

You will be responsible for ensuring the stability, performance, and scalability of client cloud environments while performing ongoing evergreening and optimization activities. This includes monitoring AI workloads, maintaining data pipelines, managing cloud infrastructure, and translating technical insights into meaningful business outcomes for clients.

This is a hands‑on, client‑facing leadership role that blends deep technical expertise with strong communication, ownership, and accountability.

Base Salary

$100,000 – $140,000 CAD annually, based on experience

Report to

Vice President or designate

Location

Hybrid (Hamilton, ON) – travel as required

What We Have to Offer

• Comprehensive health and dental benefits
• Opportunities for professional development, certifications, and growth within DIT’s Managed Services and Cloud practices
• Exposure to advanced cloud, AI, and enterprise‑grade client environment

Working as a Google Technical Support Lead, You Will

Cloud Infrastructure & Managed Services

Act as the technical owner for client GCP environments, including IAM, networking (VPCs), security controls, and compliance.

Monitor system health, uptime, and performance, serving as the primary escalation point for cloud‑related incidents and performance issues.

Manage capacity planning, quotas, and scaling strategies across Compute Engine and related services to balance performance and cost.

Ensure environments follow GCP and DIT best practices for reliability, security, and cost optimization.

AI Environment Maintenance & Evergreening

Monitor AI and ML workloads in production, including latency, throughput, and reliability, and proactively identify risks such as model drift or data quality issues.

Maintain and optimize data ingestion and processing pipelines (e.g., Cloud Dataflow, Pub/Sub) to ensure models are continuously fed with high‑quality data.

Support ongoing evergreening initiatives, including API upgrades, platform enhancements, and adoption of newer GCP or Vertex AI features.

Ensure consistency and parity between development, staging, and production environments.

Client Success & Technical Leadership

Own the technical roadmap for assigned clients, ensuring migration milestones, optimization initiatives, and deployment timelines are met.

Prepare and lead Quarterly Business Reviews (QBRs) focused on platform stability, performance trends, cost efficiency, and forward‑looking recommendations.

Translate complex technical metrics into clear, business‑focused insights for both technical and non-technical stakeholders.

Develop and maintain runbooks, documentation, and operational assets tailored to each client’s environment.

Collaborate closely with internal delivery, cloud, security, and leadership teams to continuously improve service quality and maturity.

Minimum Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

5+ years in a customer‑facing technical role such as Technical Support, Technical Account Manager (TAM), DevOps, or Cloud Engineer.

Hands‑on experience managing workloads on Google Cloud Platform (GCP).

Foundational understanding of the AI/ML lifecycle, including data preparation, training, deployment, and monitoring.

Strong troubleshooting skills and experience supporting production environments.

Preferred Qualifications

Google Cloud certifications such as Professional Cloud Architect or Professional Data / ML Engineer.

Experience with Vertex AI, BigQuery ML, BigQuery, or Looker.

Infrastructure‑as‑Code experience using Terraform or Google Cloud Deployment Manager.

Experience with data orchestration and data ops tools (e.g., Cloud Composer / Airflow).

Proven ability to communicate technical performance and risk in business‑impact terms.

French/English bilingualism is an asset

Additional information

Candidates must be legally able to work in Ontario, Canada

Candidates should not be convicted of a criminal offense for which a pardon has not been received